Get to know various methods and tools in the global markets which are used by algorithmic traders. Demonstration of Algo Trading with sample strategies and how to integrate with APIs and different tools....
In this post we discuss sentiment analysis in brief and then present a basic sentiment analysis model in R. Sentiment analysis is the analysis of the feelings (i.e. attitudes, emotions and opinions)....
Nitesh Khandelwal was invited by Andrew Swanscott at of Better System Trader for an interview, where he shared insights about various backtesting platforms, statistical arbitrage and high frequency trading....
In part one we derived rules for a forex strategy using the SVM algorithm in R. Here we take a step further, and demonstrate how to backtest our findings....
Dispersion trading is a very profitable strategy which offers high rewards in response to a low risk, but it is essential to implement the strategy correctly to gain the profit....
To use ML in trading, we use historical data (stock price/forex data) and add indicators to build a model in R/Python/Java. We then select a Machine learning algorithm to make the predictions....
In this webinar, you will learn how to apply techniques from the Artificial Intelligence and machine learning fields to improve the quantitative strategy development process and maximize your chances of success with every strategy....
New Paradigms for Sentiment Analysis Applied to Finance. Sentiment Analysis applies machine learning and makes a rapid assessment of the sentiments expressed in news releases....
This article focuses on statistical arbitrage, coded in R. It is a combination of EPAT class notes and author’s source code....
FIX is the defacto standard for message communication for almost two decades of electronic trading. Today, it is used by a variety of market participants, firms, and vendors....